29 search results - page 3 / 6 » Learning to Map Dependency Parses to Abstract Meaning Repres... |
91
Voted
AAAI
2007
15 years 3 months ago
2007
This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
123
Voted
AAAI
2004
15 years 2 months ago
2004
Representing lexicons and sentences with the subsymbolic approach (using techniques such as Self Organizing Map (SOM) or Artificial Neural Network (ANN)) is a relatively new but i...
112
Voted
SIGIR
2005
ACM
15 years 6 months ago
2005
ACM
State-of-the-art question answering (QA) systems employ termdensity ranking to retrieve answer passages. Such methods often retrieve incorrect passages as relationships among ques...
117
Voted
IJON
1998
15 years 15 days ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
108
Voted
CVPR
2006
IEEE
15 years 6 months ago
2006
IEEE
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...